Techniques to Deploy an Application as a Cloud Computing Service

1. An apparatus, comprising: computer memory; a processing circuit; and logic stored in the computer memory and operative on the processing circuit, the logic configured to cause the processing circuit to: determine a build pipeline and a deployment pattern based on a strategy model and parameter data; identify, with the strategy model, a mapped set of attributes to build and deploy computer code of an application as a cloud computing service in a cloud-based computing platform, the mapped set of attributes to identify commands and components required for the application to deploy as the cloud computing service, and the strategy model trained via training data to identify the mapped set of attributes from data points relating to building and deployment of a plurality of applications in the cloud-based computing platform; generate a container package from the computer code utilizing the build pipeline, wherein the container package comprises a runtime machine and the mapped set of attributes identifying the commands and components to generate an image for the application; generate the image from the container package; and deploy the image in the cloud-based computing platform based on the deployment pattern, the image enabled to execute in the cloud-based computing platform.

2. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to create the strategy model using an artificial intelligence computational library, and wherein the application is built and deployed in accordance with a build and deployment policy comprising at least one of a security policy, maintenance policy, a cloud control policy, or any combination thereof.

3. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to store, in the container package, information on command line calls to assemble the image.

4. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to configure the cloud-based computing platform to collect and process log data corresponding to executing the image and running the application.

5. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to deploy the image with a network address associated with hosting by the cloud-based computing platform.

6. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to generate clones of the image for hosting a plurality of services.

7. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to store the image in a repository of the cloud-based computing platform.

8. The apparatus of claim 1 further comprising logic configured to cause the processing circuit to identify dependencies for the application to use for the build pipeline.

9. A computer-implemented method, comprising: determining a build pipeline and a deployment pattern based on a strategy model and parameter data; identifying with the strategy model executing by a computing system, a mapped set of attributes to build and deploy computer code of an application as a cloud computing service in a cloud-based computing platform, the mapped set of attributes to identify commands and components required for the computer code to deploy as the cloud computing service, and the strategy model trained to identify the mapped set of attributes with data points relating to building and deployment of a plurality of other applications deployed in the cloud-based computing platform; generating, by the computing system, a container package from the computer code based on the build pipeline, the container package comprising a runtime machine and the mapped set of attributes identifying the commands and components to generate an image for the application; generating, by the computing system, the image from the container package including the runtime machine, and the commands and components; and deploying, by the computing system, the image based on the deployment pattern, the image enabled to execute in the cloud-based computing platform.

10. The computer-implemented method of claim 9 , comprising creating the strategy model using an artificial intelligence computational library, and wherein the mapped set of attributes at least partially identified based on a build and deployment policy comprises at least one of a security policy, maintenance policy, a cloud control policy, or any combination thereof.

11. The computer-implemented method of claim 9 , comprising storing, in the container package, information on command line calls to assemble the image.

12. The computer-implemented method of claim 9 , comprising deploying the image in the cloud-based computing platform and configuring the cloud-based computing platform to collect and process log data corresponding to executing the image and running the application.

13. The computer-implemented method of claim 9 , comprising deploying the image with a network address associated with hosting by the cloud-based computing platform.

14. The computer-implemented method of claim 9 , comprising generating clones of the image for hosting a plurality of services.

15. The computer-implemented method of claim 9 , comprising storing the image in a repository of the cloud-based computing platform.

16. The computer-implemented method of claim 9 , comprising identifying dependencies for the application to use for the build pipeline.

17. At least one non-transitory computer-readable medium comprising a set of instructions that, in response to being executed on a computing system, cause the computing system to: determine a build pipeline and a deployment pattern based on a strategy model and parameter data; identify, by the strategy model, a mapped set of attributes to build and deploy computer code of an application as a cloud computing service to deploy in a cloud-based computing platform, the mapped set of attributes to identify commands and components required for the cloud computing service to deploy as the cloud computing service, and the strategy model trained to identify the mapped set of attributes with data points relating to building and deployment of a plurality of other applications previously deployed in the cloud-based computing platform; generate a container package from the computer code based on the build pipeline, the container package comprising a runtime machine and the mapped set of attributes to identifying the commands and components to generate an image for the application; generate the image from the container package including the runtime machine, and the commands and components; and deploy the image based on the deployment pattern, the image enabled to execute in the cloud-based computing platform.

18. The at least one non-transitory computer-readable medium of claim 17 , comprising a set of instructions that, in response to being executed on the computing system, cause the computing system to create the strategy model using an artificial intelligence computational library, and wherein the build pipeline and the deployment pattern are based on a build and deployment policy comprising at least one of a security policy, maintenance policy, a cloud control policy, or any combination thereof.

19. The at least one non-transitory computer-readable medium of claim 17 , comprising a set of instructions that, in response to being executed on the computing system, cause the computing system to store in the container package, information on command line calls to assemble the image.

20. The at least one non-transitory computer-readable medium of claim 17 , comprising a set of instructions that, in response to being executed on the computing system, cause the computing system to deploy the image in the cloud-based computing platform and configuring the cloud-based computing platform to collect and process log data corresponding to executing the image and running the application.